MURAL - Maynooth University Research Archive Library



    Optimisation of heterogeneous wave energy converter arrays: A control co-design strategy


    Ermakov, Andrei M., Ali, Zain Anwar, Mahmoodi, Kumars, Mason, Oliver and Ringwood, John (2025) Optimisation of heterogeneous wave energy converter arrays: A control co-design strategy. Renewable Energy, 244: 122637. pp. 1-10. ISSN 0960-1481

    [thumbnail of JR_op.pdf]
    Preview
    Text
    JR_op.pdf

    Download (2MB) | Preview

    Abstract

    The commercial development and deployment of wave energy converters (WECs) will require arranging these devices in groups known as ‘arrays’, similar to the deployment other large-scale renewable energy systems, such as wind farms, or tidal arrays. This study explores a novel control co-design (CCD) strategy for heterogeneous arrays of point absorber-type WECs, focusing on the simultaneous optimisation of buoy hull geometry and array layout to harness multi-directional wind and swell wave energy. The WEC array operates under a newly developed global centralised control algorithm, which supports displacement constraints, but allows for the assessment of array performance in the frequency domain. This approach has the potential to significantly speed up the numerical solution of the control co-design optimisation problem, compared to more traditional time-domain-based methods. The array optimisation problem is solved using a global optimisation method. The performance function aims to optimise the positive network effect of interactions between devices in the array, while simultaneously considering cost issues, quantified by device sizes. The investigation identifies optimal device geometry and array layouts for clusters of three, four, and five WECs, in two different wave climates: Irish and Portuguese coasts, allowing the sensitivity of optimal solutions to different wave climates to be studied.
    Item Type: Article
    Keywords: Wave energy converter; Control co-design; Layout optimisation; Geometry optimisation; Heterogeneous arrays; Global optimisation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 19546
    Identification Number: 10.1016/j.renene.2025.122637
    Depositing User: Professor John Ringwood
    Date Deposited: 04 Mar 2025 15:02
    Journal or Publication Title: Renewable Energy
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/19546
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads